Here the results of using the algorithm on synthetic datasets and a real dataset are shown.
One synthetic network used for testing is a set of random Erdös-Rényi (ER) graphs produced and connected together to from a connected network by choosing randomly members to act as boundary nodes.
The other synthetic network is produced from connecting independent communities graphs produced using
preferential attachment.
The well known Zachary Karate club dataset [1]} is analyzed and presented. The Enron email dataset [2]} is
also analysed utilizing the valuable semantic data associated with the nodes to show the qualitative validity of the algorithm.
Lastly a new dataset collected from monitoring a Twitter hashtag is presented where the volume of
Tweets and the volume of boundary nodes are presented against a random set to show the importance that these nodes
have in spreading information throughout the network.
